About the roleYou'll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders. You'll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation.This role is ideal for someone who is comfortable working throughout the entire presales to delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team.Skills and Experience required5+ years in data science or data engineering rolesProficient in Python, SQL, and common data tools (pandas, Plotly, Streamlit, Dash)Familiarity with large language models (LLMs) and deploying ML in productionExperience working with APIs and interpreting technical documentationStrong problem-solving, collaboration, and communication skillsWhat you will doClient Discovery & PresalesSupport sales in scoping projects and assessing technical feasibilityPrepare technical demos, specifications, and sample datasetsDefine success metrics and baseline evaluation frameworksProject DeliveryBuild and maintain data pipelines and quality measurement systemsGenerate and augment synthetic datasets to accelerate client workflowsPackage production-ready datasets with clear documentation and QA standardsTechnical Partnership & InnovationDefine production workflows and support smooth client implementationsTroubleshoot technical issues and unblock delivery teamsContinuously improve processes, tools, and evaluation methodsIdentify opportunities to extend or expand client engagements